I have several CSV files that are exported from an air quality monitor. I am trying to extract only the useful values, which to me is any row with either column C, D, or E containing a non-zero number. All of the other rows can be deleted.
Additionally, there are new header rows inserted every 500 rows of data. All of the data rows have a sample number in column A, so that seems like the logical filter criteria for me; if A is a number, keep it, if not, delete the row.
My biggest obstacle right now is that every cell has a large space after the text or number, making the cell not cooperate with normal criteria and functions.
How do I remove all of these large blank spaces (almost like a tab)? And I'd appreciate any help with coming to the end product described (deleting all rows except those which contain a non-zero number in columns C, D, or E). Thanks!
Snapshot below, and a sample of one of my CSVs is at this link: NO - Sample File.csv
Additionally, there are new header rows inserted every 500 rows of data. All of the data rows have a sample number in column A, so that seems like the logical filter criteria for me; if A is a number, keep it, if not, delete the row.
My biggest obstacle right now is that every cell has a large space after the text or number, making the cell not cooperate with normal criteria and functions.
How do I remove all of these large blank spaces (almost like a tab)? And I'd appreciate any help with coming to the end product described (deleting all rows except those which contain a non-zero number in columns C, D, or E). Thanks!
Snapshot below, and a sample of one of my CSVs is at this link: NO - Sample File.csv